graph_nets
Graph network library
An open-source library for building graph networks in TensorFlow and Sonnet
Build Graph Nets in Tensorflow
5k stars
225 watching
782 forks
Language: Python
last commit: almost 2 years ago
Linked from 1 awesome list
artificial-intelligencedeep-learninggraph-networksgraphsneural-networkssonnettensorflow
krzjoa/awesome-python-data-scienceRelated projects:
| Repository | Description | Stars |
|---|---|---|
 tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,369 |
| google-deepmind/sonnet | A simple, composable neural network library built on top of TensorFlow 2. | 9,782 |
 dmlc/dgl | A Python package for building deep learning models on graph data structures | 13,548 |
 nlintz/tensorflow-tutorials | A collection of tutorials teaching deep learning with TensorFlow using Jupyter Notebooks | 6,006 |
 danielegrattarola/spektral | A Python library for building graph neural networks with Keras and TensorFlow 2. | 2,371 |
 pyg-team/pytorch_geometric | A PyTorch-based library for training and applying Graph Neural Networks to structured data | 21,382 |
| google-deepmind/dnc | An implementation of a neural network architecture designed to efficiently process sequential data with dynamic external memory | 2,501 |
 tflearn/tflearn | A high-level API for deep learning that builds upon TensorFlow | 9,620 |
 graphdeeplearning/benchmarking-gnns | A collection of datasets and tools for evaluating graph neural networks | 2,523 |
 thunlp/gnnpapers | A curated collection of must-read papers on graph neural networks, providing a comprehensive overview of the field. | 16,037 |
 benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 402 |
| benedekrozemberczki/graphwaveletneuralnetwork | An implementation of a neural network for graph data, specifically designed to process wavelet transforms on graphs. | 574 |
 liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
 taehoonlee/tensornets | A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
 tkipf/pygcn | A PyTorch implementation of a graph neural network architecture for semi-supervised classification | 5,198 |